Triple
T10698716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SOS |
E252212
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Seek & Destroy |
E546886
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Seek & Destroy | Statement: [SOS, hasTrack, Seek & Destroy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seek & Destroy Context triple: [SOS, hasTrack, Seek & Destroy]
-
A.
Seek & Destroy
chosen
"Seek & Destroy" is one of Metallica's early thrash metal anthems, renowned for its aggressive riffs, live-show prominence, and status as a fan favorite from their debut album.
-
B.
Combine
Combine is Apple’s declarative reactive programming framework for handling asynchronous events and data streams in Swift applications.
-
C.
Combine
Combine is a type of artwork, pioneered by Robert Rauschenberg, that merges painting and sculpture by incorporating everyday objects and materials into the painted surface.
-
D.
Pinagsama
Pinagsama is a barangay (village-level administrative division) located in the city of Taguig in Metro Manila, Philippines.
-
E.
Double Merge
Double Merge is a large-scale abstract installation by American artist Sam Gilliam that exemplifies his innovative draped canvas technique and vibrant use of color.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8a03848190bf68dd470bee103a |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998ed78e481908537ae10d55e6f65 |
completed | April 11, 2026, 12:42 a.m. |
Created at: April 8, 2026, 9:12 p.m.